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rLDCP
View on CRAN: Click
here
Download and install rLDCP package within the R console
Install from CRAN:
install.packages("rLDCP")
Install from Github:
library("remotes")
install_github("cran/rLDCP")
Install by package version:
library("remotes")
install_version("rLDCP", "1.0.2")
Attach the package and use:
library("rLDCP")
Maintained by
Patricia Conde-Clemente
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-12-23
Latest Update: 2017-11-10
Description:
Linguistic Descriptions of Complex Phenomena (LDCP) is an architecture and methodology that allows us to model complex phenomena, interpreting input data, and generating automatic text reports customized to the user needs (see <doi:10.1016/j.ins.2016.11.002> and <doi:10.1007/s00500-016-2430-5>). The proposed package contains a set of methods that facilitates the development of LDCP systems. It main goal is increasing the visibility and practical use of this research line.
How to cite:
Patricia Conde-Clemente (2016). rLDCP: Text Generation from Data. R package version 1.0.2, https://cran.r-project.org/web/packages/rLDCP
Other packages that cited rLDCP R package
View rLDCP citation profile
Other R packages that rLDCP depends,
imports, suggests or enhances
Functions, R codes and Examples using
the rLDCP R package
Some associated functions: cp . data_structure . degree_mf . fuzzy_partitions . fuzzy_rule . fuzzy_rules . generate_code . glmp . infer_rules . ldcp . ldcp_run . operator . pm . pm_infer . pm_multidimensional . pm_report . report_template . trapezoid_mf . triangle_mf . validate_xml . xml2rldcp .
Some associated R codes: cp.R . data-structure.R . fuzzy-mf.R . fuzzy-rules.R . glmp.R . ldcp.R . pm.R . report-template.R . xml-Parser.R . xml-Realizer.R . xml-Validate.R . xml-ldcp.R . Full rLDCP package functions and examples
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